-----------------------------------------------------------------------------------------------------------------------
       log:  Z:\interactionmodels\replication\electoralparties_replication_xls.log
  log type:  text
 opened on:  10 Jan 2007, 19:59:58

. *     ***************************************************************** *;
. *     ***************************************************************** *;
. *       File-Name:      electoralparties_replication_xls.do             *;
. *       Date:           01/09/2007                                      *;
. *       Author:         MRG                                             *;
. *       Purpose:        Replicate Mozaffar et al. 2003, table 1         *;
. *       Input File:     XLS_mozaffar.dta                                *;
. *       Output File:    electoralparties_replication_xls.log            *;
. *       Data Output:    none                                            *;
. *       Previous file:                                                  *;
. *       Machine:                                                        *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. set mem 10m;
(10240k)

. use getdata\XLS_mozaffar.dta;

. *     ****************************************************************  *;
. *           Summary Statistics                                          *;
. *     ****************************************************************  *;
. sum;

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
 country_xls |         0
    year_nyu |        62    1994.081    3.930955       1980       2000
dictator_nyu |        62    .5645161    .4998678          0          1
elecpartie~s |        62    3.234355    2.699867        1.4       14.9
legparties~s |        62    2.340323    1.505894          1        8.8
-------------+--------------------------------------------------------
avemagnitu~s |        62    32.18519    79.66943          1        400
logmag10_xls |        62    .6975806    .7657045          0      2.602
proximity_~s |        62    .6246774    .4255131          0          1
prescandid~s |        62    2.254839    1.489931          0        7.3
prox_presc~s |        62    1.442323    1.177821          0        4.6
-------------+--------------------------------------------------------
fragme~n_xls |        62    4.382419     2.74622          1       9.91
fragme~2_xls |        62    26.62613    28.37423          1      98.21
concentrat~s |        62    1.597258     .963064          0       3.24
frag_conc_~s |        62    8.193395    6.824679          0    25.4664
frag2_conc~s |        62    51.16194    59.53712          0     208.42
-------------+--------------------------------------------------------
    lmgfrgts |        62    21.73133    47.40832          0   182.4051
    lmgconto |        62    1.154228    1.518987          0   5.317299
l~2_conc_xls |        62    34.08677    64.67844          0     265.65
     elf_xls |        56      .62625    .2404281          0        .93
   pregb_xls |        62    .4206452     .281692          0        .82
-------------+--------------------------------------------------------
logmag10_e~s |        62    .4157788    .6017939          0   2.289813
pregb_logm~s |        62    .3235943    .5029105          0   2.003586
  logmag_xls |        62    1.606316    1.763218          0   5.991465
logmag10_c~s |        62    1.154257     1.51896          0    5.31634
l~0_frag_xls |        62    3.311054    5.323039          0   20.52978
-------------+--------------------------------------------------------
logmag10_f.. |        62    5.522605      8.2276          0   33.66884
logmag_con~s |        62    2.657708    3.497597          0   12.24354
l~g_frag_xls |        62     7.62432    12.25799          0   47.27266
logmag_fra.. |        62    12.71621    18.94531          0   77.52715

. *     ****************************************************************  *;
. *       First, try to replicate Model 1 in Table 1, page 386.           *;
. *     ****************************************************************  *;
. regress  elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  3,    58) =    4.88
       Model |  89.5598378     3  29.8532793           Prob > F      =  0.0043
    Residual |  355.086495    58  6.12218095           R-squared     =  0.2014
-------------+------------------------------           Adj R-squared =  0.1601
       Total |  444.646333    61  7.28928415           Root MSE      =  2.4743

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |  -.3358381   .4216567    -0.80   0.429    -1.179876    .5081995
proximity_~s |  -4.553141   1.234806    -3.69   0.001    -7.024873   -2.081408
prox_presc~s |   1.462077   .4483335     3.26   0.002     .5646403    2.359514
       _cons |   4.204086   .6756845     6.22   0.000     2.851557    5.556615
------------------------------------------------------------------------------

. regress  elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  3,    58) =    4.88
       Model |  89.5627478     3  29.8542493           Prob > F      =  0.0043
    Residual |  355.083585    58  6.12213078           R-squared     =  0.2014
-------------+------------------------------           Adj R-squared =  0.1601
       Total |  444.646333    61  7.28928415           Root MSE      =  2.4743

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |  -.1458976   .1831103    -0.80   0.429    -.5124328    .2206375
proximity_~s |  -4.553146   1.234801    -3.69   0.001    -7.024868   -2.081424
prox_presc~s |   1.462062   .4483319     3.26   0.002     .5646278    2.359496
       _cons |   4.204195   .6756799     6.22   0.000     2.851675    5.556715
------------------------------------------------------------------------------

. regress  elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    3.63
                                                       Prob > F      =  0.0181
                                                       R-squared     =  0.2014
                                                       Root MSE      =  2.4743

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |  -.3358381   .2994927    -1.12   0.267    -.9353379    .2636617
proximity_~s |  -4.553141   1.429462    -3.19   0.002    -7.414521   -1.691761
prox_presc~s |   1.462077    .474343     3.08   0.003     .5125767    2.411578
       _cons |   4.204086     .91953     4.57   0.000     2.363447    6.044725
------------------------------------------------------------------------------

. regress  elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    3.63
                                                       Prob > F      =  0.0181
                                                       R-squared     =  0.2014
                                                       Root MSE      =  2.4743

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |  -.1458976   .1300553    -1.12   0.267    -.4062315    .1144363
proximity_~s |  -4.553146   1.429456    -3.19   0.002    -7.414513   -1.691779
prox_presc~s |   1.462062   .4743336     3.08   0.003     .5125799    2.411544
       _cons |   4.204195   .9195483     4.57   0.000     2.363519    6.044871
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *       Neither of these work                                           *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *       Model 2                                                         *;
. *     ****************************************************************  *;
. regress elecparties_xls fragmentation_xls concentration_xls frag_conc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  3,    58) =    8.37
       Model |  134.285362     3  44.7617872           Prob > F      =  0.0001
    Residual |  310.360972    58  5.35105123           R-squared     =  0.3020
-------------+------------------------------           Adj R-squared =  0.2659
       Total |  444.646333    61  7.28928415           Root MSE      =  2.3132

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragme~n_xls |  -.6940018   .2132093    -3.26   0.002    -1.120787   -.2672171
concentrat~s |  -.3492676   .5162728    -0.68   0.501      -1.3827    .6841648
frag_conc_~s |   .4293546   .1152362     3.73   0.000     .1986842     .660025
       _cons |   3.315761   .7714293     4.30   0.000     1.771577    4.859944
------------------------------------------------------------------------------

. regress elecparties_xls fragmentation_xls concentration_xls frag_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    4.41
                                                       Prob > F      =  0.0073
                                                       R-squared     =  0.3020
                                                       Root MSE      =  2.3132

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragme~n_xls |  -.6940018   .2211557    -3.14   0.003    -1.136693   -.2513107
concentrat~s |  -.3492676   .5624921    -0.62   0.537    -1.475218    .7766828
frag_conc_~s |   .4293546   .1619854     2.65   0.010     .1051057    .7536035
       _cons |   3.315761   .3654954     9.07   0.000     2.584142    4.047379
------------------------------------------------------------------------------

. regress elecparties_xls fragmentation2_xls concentration_xls frag_conc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  3,    58) =    5.89
       Model |  103.826825     3  34.6089417           Prob > F      =  0.0014
    Residual |  340.819508    58  5.87619841           R-squared     =  0.2335
-------------+------------------------------           Adj R-squared =  0.1939
       Total |  444.646333    61  7.28928415           Root MSE      =  2.4241

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragme~2_xls |  -.0432388   .0204628    -2.11   0.039    -.0841996    -.002278
concentrat~s |  -.3378812   .5943925    -0.57   0.572    -1.527687    .8519246
frag_conc_~s |   .3333853   .1217846     2.74   0.008     .0896069    .5771637
       _cons |   2.193763   .6561135     3.34   0.001     .8804094    3.507117
------------------------------------------------------------------------------

. regress elecparties_xls fragmentation2_xls concentration_xls frag_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    3.71
                                                       Prob > F      =  0.0164
                                                       R-squared     =  0.2335
                                                       Root MSE      =  2.4241

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragme~2_xls |  -.0432388    .019765    -2.19   0.033    -.0828027   -.0036749
concentrat~s |  -.3378812    .743268    -0.45   0.651    -1.825694    1.149931
frag_conc_~s |   .3333853   .1915644     1.74   0.087    -.0500725    .7168431
       _cons |   2.193763   .2007459    10.93   0.000     1.791927      2.5956
------------------------------------------------------------------------------

. regress elecparties_xls fragmentation2_xls concentration_xls frag2_conc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  3,    58) =    8.54
       Model |  136.204743     3  45.4015808           Prob > F      =  0.0001
    Residual |  308.441591    58  5.31795846           R-squared     =  0.3063
-------------+------------------------------           Adj R-squared =  0.2704
       Total |  444.646333    61  7.28928415           Root MSE      =  2.3061

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragme~2_xls |  -.0669476   .0214767    -3.12   0.003     -.109938   -.0239572
concentrat~s |   .1474626   .3936206     0.37   0.709    -.6404547    .9353798
frag2_conc~s |   .0441266   .0116409     3.79   0.000     .0208247    .0674284
       _cons |   2.523775   .6370146     3.96   0.000     1.248652    3.798898
------------------------------------------------------------------------------

. regress elecparties_xls fragmentation2_xls concentration_xls frag2_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    4.50
                                                       Prob > F      =  0.0066
                                                       R-squared     =  0.3063
                                                       Root MSE      =  2.3061

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragme~2_xls |  -.0669476   .0224225    -2.99   0.004     -.111831   -.0220642
concentrat~s |   .1474626   .2913227     0.51   0.615    -.4356831    .7306083
frag2_conc~s |   .0441266   .0156805     2.81   0.007     .0127386    .0755145
       _cons |   2.523775   .2135138    11.82   0.000      2.09638    2.951169
------------------------------------------------------------------------------

. regress elecparties_xls fragmentation_xls fragmentation2_xls concentration_xls frag2_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  4,    57) =    3.69
                                                       Prob > F      =  0.0096
                                                       R-squared     =  0.3598
                                                       Root MSE      =  2.2347

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragme~n_xls |  -1.149774   .8327331    -1.38   0.173    -2.817293    .5177452
fragme~2_xls |   .0409543   .0782355     0.52   0.603    -.1157096    .1976183
concentrat~s |   .7635936   .7012381     1.09   0.281    -.6406116    2.167799
frag2_conc~s |    .040234   .0159676     2.52   0.015     .0082594    .0722087
       _cons |   3.904584   1.070125     3.65   0.001     1.761695    6.047473
------------------------------------------------------------------------------

. regress elecparties_xls fragmentation_xls fragmentation2_xls concentration_xls frag_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  4,    57) =    3.78
                                                       Prob > F      =  0.0086
                                                       R-squared     =  0.3497
                                                       Root MSE      =  2.2522

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragme~n_xls |   -1.69104   .7853143    -2.15   0.036    -3.263605    -.118475
fragme~2_xls |   .0992522   .0711515     1.39   0.168    -.0432263    .2417306
concentrat~s |   .2524271   .9101418     0.28   0.783      -1.5701    2.074955
frag_conc_~s |   .3848035   .1663154     2.31   0.024     .0517627    .7178444
       _cons |   4.446461   .9850404     4.51   0.000     2.473952     6.41897
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *       Could not replicate either, but closest one was with            *;
. *       fragmentation2 and frag2_conc.                                  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *       Model 3                                                         *;
. *     ****************************************************************  *;
. regress elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation_xls concentration_xls frag_co
> nc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.15
       Model |    178.4507     6  29.7417833           Prob > F      =  0.0001
    Residual |  266.195633    55   4.8399206           R-squared     =  0.4013
-------------+------------------------------           Adj R-squared =  0.3360
       Total |  444.646333    61  7.28928415           Root MSE      =     2.2

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |   .0579519    .411871     0.14   0.889    -.7674561    .8833599
proximity_~s |  -3.399705   1.133717    -3.00   0.004    -5.671724   -1.127685
prox_presc~s |   1.004232   .4181952     2.40   0.020     .1661497    1.842314
fragme~n_xls |  -.6050858   .2235887    -2.71   0.009    -1.053168   -.1570041
concentrat~s |  -.4004769   .5194315    -0.77   0.444    -1.441441    .6404872
frag_conc_~s |   .3860147   .1200011     3.22   0.002     .1455271    .6265023
       _cons |   3.997855   .8094665     4.94   0.000     2.375648    5.620062
------------------------------------------------------------------------------

. regress elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation_xls concentration_xls frag_co
> nc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.42
                                                       Prob > F      =  0.0061
                                                       R-squared     =  0.4013
                                                       Root MSE      =     2.2

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |   .0579519   .4714324     0.12   0.903    -.8868197    1.002723
proximity_~s |  -3.399705   1.264589    -2.69   0.009    -5.933998   -.8654113
prox_presc~s |   1.004232   .3258645     3.08   0.003     .3511846    1.657279
fragme~n_xls |  -.6050858   .2474806    -2.44   0.018    -1.101048   -.1091237
concentrat~s |  -.4004769   .7110113    -0.56   0.576    -1.825375    1.024422
frag_conc_~s |   .3860147   .1918315     2.01   0.049     .0015757    .7704537
       _cons |   3.997855   .7393657     5.41   0.000     2.516133    5.479577
------------------------------------------------------------------------------

. regress elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation_xls concentration_xls frag_conc
> _xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.15
       Model |  178.450667     6  29.7417779           Prob > F      =  0.0001
    Residual |  266.195666    55  4.83992119           R-squared     =  0.4013
-------------+------------------------------           Adj R-squared =  0.3360
       Total |  444.646333    61  7.28928415           Root MSE      =     2.2

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |    .025162   .1788596     0.14   0.889    -.3332806    .3836047
proximity_~s |  -3.399703   1.133719    -3.00   0.004    -5.671727   -1.127679
prox_presc~s |   1.004229   .4181941     2.40   0.020     .1661492    1.842309
fragme~n_xls |  -.6050843   .2235903    -2.71   0.009    -1.053169   -.1569992
concentrat~s |  -.4004653   .5194145    -0.77   0.444    -1.441395    .6404647
frag_conc_~s |   .3860134   .1200006     3.22   0.002     .1455269    .6264999
       _cons |   3.997851   .8094738     4.94   0.000     2.375629    5.620073
------------------------------------------------------------------------------

. regress elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation_xls concentration_xls frag_conc
> _xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.42
                                                       Prob > F      =  0.0061
                                                       R-squared     =  0.4013
                                                       Root MSE      =     2.2

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |    .025162   .2047042     0.12   0.903    -.3850745    .4353985
proximity_~s |  -3.399703   1.264605    -2.69   0.009    -5.934028   -.8653776
prox_presc~s |   1.004229   .3258707     3.08   0.003     .3511696    1.657288
fragme~n_xls |  -.6050843   .2474748    -2.45   0.018    -1.101035   -.1091337
concentrat~s |  -.4004653    .710939    -0.56   0.576    -1.825219    1.024288
frag_conc_~s |   .3860134    .191825     2.01   0.049     .0015875    .7704393
       _cons |   3.997851   .7393927     5.41   0.000     2.516075    5.479627
------------------------------------------------------------------------------

. regress elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls frag_c
> onc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    5.07
       Model |  158.349781     6  26.3916301           Prob > F      =  0.0003
    Residual |  286.296552    55  5.20539186           R-squared     =  0.3561
-------------+------------------------------           Adj R-squared =  0.2859
       Total |  444.646333    61  7.28928415           Root MSE      =  2.2815

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |  -.0616927   .4342071    -0.14   0.888    -.9318633    .8084778
proximity_~s |  -3.748933   1.162648    -3.22   0.002    -6.078932   -1.418935
prox_presc~s |   1.041234   .4332921     2.40   0.020     .1728968    1.909571
fragme~2_xls |  -.0366968   .0213729    -1.72   0.092    -.0795291    .0061355
concentrat~s |  -.3587442   .6037097    -0.59   0.555    -1.568605     .851117
frag_conc_~s |   .2960222   .1267071     2.34   0.023     .0420955     .549949
       _cons |   3.242143   .7643309     4.24   0.000     1.710389    4.773896
------------------------------------------------------------------------------

. regress elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls frag_c
> onc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    2.84
                                                       Prob > F      =  0.0177
                                                       R-squared     =  0.3561
                                                       Root MSE      =  2.2815

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |  -.0616927   .5779941    -0.11   0.915    -1.220019    1.096633
proximity_~s |  -3.748933   1.330533    -2.82   0.007     -6.41538   -1.082487
prox_presc~s |   1.041234   .3493323     2.98   0.004     .3411562    1.741311
fragme~2_xls |  -.0366968   .0283683    -1.29   0.201    -.0935481    .0201545
concentrat~s |  -.3587442   .9674475    -0.37   0.712    -2.297552    1.580064
frag_conc_~s |   .2960222   .2366329     1.25   0.216    -.1782008    .7702452
       _cons |   3.242143   .7250007     4.47   0.000     1.789209    4.695077
------------------------------------------------------------------------------

. regress elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls frag2_
> conc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.19
       Model |  179.165634     6  29.8609389           Prob > F      =  0.0001
    Residual |    265.4807    55  4.82692181           R-squared     =  0.4029
-------------+------------------------------           Adj R-squared =  0.3378
       Total |  444.646333    61  7.28928415           Root MSE      =   2.197

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |    .048778   .4153527     0.12   0.907    -.7836074    .8811635
proximity_~s |   -3.35111    1.13344    -2.96   0.005    -5.622576   -1.079645
prox_presc~s |   .9599468   .4189375     2.29   0.026     .1203773    1.799516
fragme~2_xls |  -.0583899    .022809    -2.56   0.013    -.1041001   -.0126796
concentrat~s |   .0815217   .3950281     0.21   0.837    -.7101323    .8731756
frag2_conc~s |   .0391942    .012273     3.19   0.002     .0145985    .0637899
       _cons |   3.328373    .736508     4.52   0.000     1.852378    4.804368
------------------------------------------------------------------------------

. regress elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls frag2_
> conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.29
                                                       Prob > F      =  0.0078
                                                       R-squared     =  0.4029
                                                       Root MSE      =   2.197

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |    .048778    .462665     0.11   0.916    -.8784233    .9759794
proximity_~s |   -3.35111   1.292622    -2.59   0.012    -5.941583   -.7606377
prox_presc~s |   .9599468   .3354843     2.86   0.006     .2876213    1.632272
fragme~2_xls |  -.0583899    .026242    -2.23   0.030      -.11098   -.0057998
concentrat~s |   .0815217   .4015632     0.20   0.840     -.723229    .8862724
frag2_conc~s |   .0391942   .0185313     2.12   0.039     .0020567    .0763317
       _cons |   3.328373   .7423934     4.48   0.000     1.840583    4.816162
------------------------------------------------------------------------------

. regress elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls frag_con
> c_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    5.07
       Model |  158.349828     6  26.3916381           Prob > F      =  0.0003
    Residual |  286.296505    55    5.205391           R-squared     =  0.3561
-------------+------------------------------           Adj R-squared =  0.2859
       Total |  444.646333    61  7.28928415           Root MSE      =  2.2815

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |  -.0267969   .1885598    -0.14   0.888    -.4046792    .3510854
proximity_~s |  -3.748939   1.162649    -3.22   0.002     -6.07894   -1.418938
prox_presc~s |   1.041234   .4332909     2.40   0.020     .1729001    1.909569
fragme~2_xls |  -.0366964   .0213731    -1.72   0.092    -.0795291    .0061363
concentrat~s |  -.3587446   .6036897    -0.59   0.555    -1.568566    .8510765
frag_conc_~s |   .2960207   .1267067     2.34   0.023     .0420947    .5499466
       _cons |   3.242158   .7643462     4.24   0.000     1.710374    4.773942
------------------------------------------------------------------------------

. regress elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls frag_con
> c_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    2.84
                                                       Prob > F      =  0.0177
                                                       R-squared     =  0.3561
                                                       Root MSE      =  2.2815

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |  -.0267969   .2509804    -0.11   0.915    -.5297728     .476179
proximity_~s |  -3.748939   1.330554    -2.82   0.007     -6.41543   -1.082448
prox_presc~s |   1.041234   .3493389     2.98   0.004     .3411435    1.741325
fragme~2_xls |  -.0366964   .0283678    -1.29   0.201    -.0935468     .020154
concentrat~s |  -.3587446   .9673579    -0.37   0.712    -2.297373    1.579884
frag_conc_~s |   .2960207   .2366258     1.25   0.216    -.1781879    .7702293
       _cons |   3.242158     .72504     4.47   0.000     1.789145     4.69517
------------------------------------------------------------------------------

. regress elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls frag2_co
> nc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.19
       Model |  179.165614     6  29.8609356           Prob > F      =  0.0001
    Residual |   265.48072    55  4.82692217           R-squared     =  0.4029
-------------+------------------------------           Adj R-squared =  0.3378
       Total |  444.646333    61  7.28928415           Root MSE      =   2.197

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |   .0211794   .1803726     0.12   0.907    -.3402953     .382654
proximity_~s |  -3.351109   1.133442    -2.96   0.005    -5.622578   -1.079639
prox_presc~s |   .9599447   .4189365     2.29   0.026     .1203771    1.799512
fragme~2_xls |  -.0583898   .0228092    -2.56   0.013    -.1041005    -.012679
concentrat~s |   .0815292    .395015     0.21   0.837    -.7100986     .873157
frag2_conc~s |   .0391941    .012273     3.19   0.002     .0145984    .0637898
       _cons |    3.32837   .7365226     4.52   0.000     1.852346    4.804395
------------------------------------------------------------------------------

. regress elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls frag2_co
> nc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.29
                                                       Prob > F      =  0.0078
                                                       R-squared     =  0.4029
                                                       Root MSE      =   2.197

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |   .0211794   .2009012     0.11   0.916    -.3814355    .4237943
proximity_~s |  -3.351109   1.292639    -2.59   0.012    -5.941615   -.7606031
prox_presc~s |   .9599447   .3354901     2.86   0.006     .2876076    1.632282
fragme~2_xls |  -.0583898   .0262416    -2.23   0.030    -.1109791   -.0058005
concentrat~s |   .0815292   .4015123     0.20   0.840    -.7231194    .8861778
frag2_conc~s |   .0391941   .0185308     2.12   0.039     .0020576    .0763307
       _cons |    3.32837   .7424232     4.48   0.000     1.840521     4.81622
------------------------------------------------------------------------------

. regress elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls frag2_
> conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.29
                                                       Prob > F      =  0.0078
                                                       R-squared     =  0.4029
                                                       Root MSE      =   2.197

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |    .048778    .462665     0.11   0.916    -.8784233    .9759794
proximity_~s |   -3.35111   1.292622    -2.59   0.012    -5.941583   -.7606377
prox_presc~s |   .9599468   .3354843     2.86   0.006     .2876213    1.632272
fragme~2_xls |  -.0583899    .026242    -2.23   0.030      -.11098   -.0057998
concentrat~s |   .0815217   .4015632     0.20   0.840     -.723229    .8862724
frag2_conc~s |   .0391942   .0185313     2.12   0.039     .0020567    .0763317
       _cons |   3.328373   .7423934     4.48   0.000     1.840583    4.816162
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *       Could not replicate - but last equation is closest.             *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *                               Model 4                                 *;
. *     ****************************************************************  *;
. regress  elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation_xls concentration_xls logmag
> 10_frag_conc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.43
       Model |   183.23606     6  30.5393433           Prob > F      =  0.0000
    Residual |  261.410273    55  4.75291406           R-squared     =  0.4121
-------------+------------------------------           Adj R-squared =  0.3480
       Total |  444.646333    61  7.28928415           Root MSE      =  2.1801

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |  -2.750705   .7751323    -3.55   0.001    -4.304105   -1.197305
proximity_~s |  -2.960298   1.149721    -2.57   0.013     -5.26439   -.6562064
prox_presc~s |   1.125957   .4129088     2.73   0.009     .2984695    1.953445
fragme~n_xls |  -.2720426   .1424122    -1.91   0.061    -.5574431    .0133578
concentrat~s |   .5463255   .3497716     1.56   0.124    -.1546324    1.247283
logmag10_f.. |   .2882912   .0848511     3.40   0.001     .1182459    .4583365
       _cons |   4.105894   .8092213     5.07   0.000     2.484179     5.72761
------------------------------------------------------------------------------

. regress  elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation_xls concentration_xls logmag
> 10_frag_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    2.68
                                                       Prob > F      =  0.0235
                                                       R-squared     =  0.4121
                                                       Root MSE      =  2.1801

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |  -2.750705   .9164677    -3.00   0.004    -4.587347   -.9140623
proximity_~s |  -2.960298   1.002702    -2.95   0.005    -4.969759   -.9508374
prox_presc~s |   1.125957   .3417484     3.29   0.002      .441078    1.810836
fragme~n_xls |  -.2720426   .1284756    -2.12   0.039    -.5295136   -.0145717
concentrat~s |   .5463255   .3125192     1.75   0.086    -.0799769    1.172628
logmag10_f.. |   .2882912   .1059015     2.72   0.009     .0760599    .5005225
       _cons |   4.105894   .9486649     4.33   0.000     2.204727    6.007061
------------------------------------------------------------------------------

. regress  elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls logma
> g10_frag_conc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    5.82
       Model |  172.685564     6  28.7809273           Prob > F      =  0.0001
    Residual |  271.960769    55  4.94474126           R-squared     =  0.3884
-------------+------------------------------           Adj R-squared =  0.3216
       Total |  444.646333    61  7.28928415           Root MSE      =  2.2237

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |  -2.469786   .7788725    -3.17   0.002    -4.030681   -.9088906
proximity_~s |   -3.21295   1.160268    -2.77   0.008     -5.53818   -.8877212
prox_presc~s |   1.125871   .4212947     2.67   0.010     .2815776    1.970165
fragme~2_xls |  -.0151787     .01295    -1.17   0.246    -.0411311    .0107738
concentrat~s |   .4281651   .3506948     1.22   0.227     -.274643    1.130973
logmag10_f.. |    .250592   .0852281     2.94   0.005     .0797911     .421393
       _cons |   3.676756   .7728386     4.76   0.000     2.127953    5.225559
------------------------------------------------------------------------------

. regress  elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls logma
> g10_frag_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    2.54
                                                       Prob > F      =  0.0305
                                                       R-squared     =  0.3884
                                                       Root MSE      =  2.2237

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |  -2.469786   .8279164    -2.98   0.004    -4.128968   -.8106044
proximity_~s |   -3.21295   1.100358    -2.92   0.005    -5.418118   -1.007783
prox_presc~s |   1.125871   .3518214     3.20   0.002     .4208053    1.830937
fragme~2_xls |  -.0151787   .0074961    -2.02   0.048    -.0302012   -.0001561
concentrat~s |   .4281651   .2819856     1.52   0.135    -.1369466    .9932769
logmag10_f.. |    .250592    .100771     2.49   0.016     .0486424    .4525417
       _cons |   3.676756     .81067     4.54   0.000     2.052137    5.301375
------------------------------------------------------------------------------

. regress  elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls logma
> g10_frag2_conc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.00
       Model |  175.951384     6  29.3252307           Prob > F      =  0.0001
    Residual |  268.694949    55  4.88536271           R-squared     =  0.3957
-------------+------------------------------           Adj R-squared =  0.3298
       Total |  444.646333    61  7.28928415           Root MSE      =  2.2103

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |    -1.7687   .5685055    -3.11   0.003     -2.90801   -.6293894
proximity_~s |  -3.202071   1.151823    -2.78   0.007    -5.510375   -.8937664
prox_presc~s |   1.192833   .4195572     2.84   0.006     .3520216    2.033644
fragme~2_xls |  -.0282941   .0154758    -1.83   0.073    -.0593084    .0027202
concentrat~s |   .7953247   .3228718     2.46   0.017     .1482752    1.442374
l~2_conc_xls |   .0277719   .0090492     3.07   0.003     .0096368    .0459069
       _cons |   3.284346   .7395434     4.44   0.000     1.802268    4.766424
------------------------------------------------------------------------------

. regress  elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls logma
> g10_frag2_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    2.53
                                                       Prob > F      =  0.0311
                                                       R-squared     =  0.3957
                                                       Root MSE      =  2.2103

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |    -1.7687   .5939713    -2.98   0.004    -2.959045   -.5783548
proximity_~s |  -3.202071   1.051602    -3.04   0.004    -5.309529   -1.094613
prox_presc~s |   1.192833    .376723     3.17   0.003     .4378633    1.947803
fragme~2_xls |  -.0282941   .0119478    -2.37   0.021    -.0522381   -.0043501
concentrat~s |   .7953247   .2928714     2.72   0.009     .2083972    1.382252
l~2_conc_xls |   .0277719   .0109765     2.53   0.014     .0057745    .0497693
       _cons |   3.284346   .7557724     4.35   0.000     1.769745    4.798948
------------------------------------------------------------------------------

. regress  elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation_xls concentration_xls logmag_f
> rag_conc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.42
       Model |  183.198804     6   30.533134           Prob > F      =  0.0000
    Residual |  261.447529    55  4.75359143           R-squared     =  0.4120
-------------+------------------------------           Adj R-squared =  0.3479
       Total |  444.646333    61  7.28928415           Root MSE      =  2.1803

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |  -1.194266   .3366552    -3.55   0.001    -1.868939   -.5195944
proximity_~s |  -2.960793   1.149794    -2.58   0.013    -5.265032   -.6565546
prox_presc~s |   1.126024   .4129367     2.73   0.009       .29848    1.953567
fragme~n_xls |  -.2719598   .1424261    -1.91   0.061    -.5573881    .0134686
concentrat~s |   .5462871    .349802     1.56   0.124    -.1547318    1.247306
logmag_fra.. |   .1251637   .0368538     3.40   0.001     .0513071    .1990203
       _cons |   4.105849   .8093234     5.07   0.000     2.483928    5.727769
------------------------------------------------------------------------------

. regress  elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation_xls concentration_xls logmag_f
> rag_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    2.68
                                                       Prob > F      =  0.0235
                                                       R-squared     =  0.4120
                                                       Root MSE      =  2.1803

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |  -1.194266   .3979646    -3.00   0.004    -1.991805   -.3967276
proximity_~s |  -2.960793   1.002775    -2.95   0.005    -4.970399   -.9511874
prox_presc~s |   1.126024    .341794     3.29   0.002     .4410532    1.810994
fragme~n_xls |  -.2719598   .1284683    -2.12   0.039     -.529416   -.0145036
concentrat~s |   .5462871   .3125288     1.75   0.086    -.0800345    1.172609
logmag_fra.. |   .1251637   .0459861     2.72   0.009     .0330055    .2173219
       _cons |   4.105849   .9487304     4.33   0.000     2.204551    6.007147
------------------------------------------------------------------------------

. regress  elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls logmag_
> frag_conc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    5.82
       Model |  172.652348     6  28.7753913           Prob > F      =  0.0001
    Residual |  271.993986    55  4.94534519           R-squared     =  0.3883
-------------+------------------------------           Adj R-squared =  0.3216
       Total |  444.646333    61  7.28928415           Root MSE      =  2.2238

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |  -1.072263   .3382744    -3.17   0.002     -1.75018    -.394346
proximity_~s |  -3.213404    1.16033    -2.77   0.008    -5.538758   -.8880497
prox_presc~s |   1.125927    .421319     2.67   0.010     .2815845    1.970269
fragme~2_xls |  -.0151707   .0129511    -1.17   0.246    -.0411253    .0107839
concentrat~s |    .428178   .3507249     1.22   0.227    -.2746903    1.131046
logmag_fra.. |   .1087899   .0370169     2.94   0.005     .0346063    .1829735
       _cons |   3.676771   .7729243     4.76   0.000     2.127796    5.225746
------------------------------------------------------------------------------

. regress  elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls logmag_
> frag_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    2.54
                                                       Prob > F      =  0.0305
                                                       R-squared     =  0.3883
                                                       Root MSE      =  2.2238

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |  -1.072263   .3594995    -2.98   0.004    -1.792716     -.35181
proximity_~s |  -3.213404   1.100423    -2.92   0.005      -5.4187   -1.008107
prox_presc~s |   1.125927   .3518604     3.20   0.002     .4207827    1.831071
fragme~2_xls |  -.0151707   .0074952    -2.02   0.048    -.0301915   -.0001499
concentrat~s |    .428178   .2820059     1.52   0.135    -.1369745    .9933304
logmag_fra.. |   .1087899   .0437561     2.49   0.016     .0211006    .1964791
       _cons |   3.676771   .8107141     4.54   0.000     2.052064    5.301478
------------------------------------------------------------------------------

. gen logmag_frag2_conc_xls = logmag_xls*fragmentation2_xls*concentration_xls;

. label var logmag_frag2_conc_xls "logmag*fragmentation2*concentration";

. regress  elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls logmag_
> frag2_conc_xls;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.00
       Model |  175.953193     6  29.3255322           Prob > F      =  0.0001
    Residual |   268.69314    55  4.88532982           R-squared     =  0.3957
-------------+------------------------------           Adj R-squared =  0.3298
       Total |  444.646333    61  7.28928415           Root MSE      =  2.2103

------------------------------------------------------------------------------
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |  -.7681063   .2468833    -3.11   0.003    -1.262872    -.273341
proximity_~s |    -3.2022   1.151811    -2.78   0.007     -5.51048   -.8939195
prox_presc~s |   1.192882   .4195549     2.84   0.006     .3520755    2.033689
fragme~2_xls |  -.0282913   .0154752    -1.83   0.073    -.0593043    .0027217
concentrat~s |   .7950999   .3228696     2.46   0.017     .1480549    1.442145
logmag_fra.. |   .0120614     .00393     3.07   0.003     .0041855    .0199373
       _cons |   3.284595   .7395657     4.44   0.000     1.802473    4.766718
------------------------------------------------------------------------------

. regress  elecparties_xls logmag_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls logmag_
> frag2_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    2.53
                                                       Prob > F      =  0.0311
                                                       R-squared     =  0.3957
                                                       Root MSE      =  2.2103

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  logmag_xls |  -.7681063   .2579464    -2.98   0.004    -1.285042   -.2511701
proximity_~s |    -3.2022   1.051642    -3.04   0.004    -5.309737   -1.094662
prox_presc~s |   1.192882   .3767131     3.17   0.003     .4379324    1.947832
fragme~2_xls |  -.0282913   .0119465    -2.37   0.021    -.0522327     -.00435
concentrat~s |   .7950999   .2928243     2.72   0.009     .2082669    1.381933
logmag_fra.. |   .0120614   .0047671     2.53   0.014     .0025078    .0216149
       _cons |   3.284595   .7558093     4.35   0.000      1.76992    4.799271
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *      Again, not possible to replicate despite multiple configurations *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *       These are the specifications that get us the closest to the     *;
. *       results shown in Table 1.                                       *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *                               Model 1                                 *;
. *     ****************************************************************  *;
. regress elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    3.63
                                                       Prob > F      =  0.0181
                                                       R-squared     =  0.2014
                                                       Root MSE      =  2.4743

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |  -.3358381   .2994927    -1.12   0.267    -.9353379    .2636617
proximity_~s |  -4.553141   1.429462    -3.19   0.002    -7.414521   -1.691761
prox_presc~s |   1.462077    .474343     3.08   0.003     .5125767    2.411578
       _cons |   4.204086     .91953     4.57   0.000     2.363447    6.044725
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 2                                 *;
. *     ****************************************************************  *;
. regress elecparties_xls fragmentation2_xls concentration_xls frag2_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    4.50
                                                       Prob > F      =  0.0066
                                                       R-squared     =  0.3063
                                                       Root MSE      =  2.3061

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragme~2_xls |  -.0669476   .0224225    -2.99   0.004     -.111831   -.0220642
concentrat~s |   .1474626   .2913227     0.51   0.615    -.4356831    .7306083
frag2_conc~s |   .0441266   .0156805     2.81   0.007     .0127386    .0755145
       _cons |   2.523775   .2135138    11.82   0.000      2.09638    2.951169
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 3                                 *;
. *     ****************************************************************  *;
. regress elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls frag2_
> conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.29
                                                       Prob > F      =  0.0078
                                                       R-squared     =  0.4029
                                                       Root MSE      =   2.197

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |    .048778    .462665     0.11   0.916    -.8784233    .9759794
proximity_~s |   -3.35111   1.292622    -2.59   0.012    -5.941583   -.7606377
prox_presc~s |   .9599468   .3354843     2.86   0.006     .2876213    1.632272
fragme~2_xls |  -.0583899    .026242    -2.23   0.030      -.11098   -.0057998
concentrat~s |   .0815217   .4015632     0.20   0.840     -.723229    .8862724
frag2_conc~s |   .0391942   .0185313     2.12   0.039     .0020567    .0763317
       _cons |   3.328373   .7423934     4.48   0.000     1.840583    4.816162
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 4                                 *;
. *     ****************************************************************  *;
. regress elecparties_xls logmag10_xls proximity_xls prox_prescandidate_xls fragmentation2_xls concentration_xls logmag
> 10_frag2_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    2.53
                                                       Prob > F      =  0.0311
                                                       R-squared     =  0.3957
                                                       Root MSE      =  2.2103

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |    -1.7687   .5939713    -2.98   0.004    -2.959045   -.5783548
proximity_~s |  -3.202071   1.051602    -3.04   0.004    -5.309529   -1.094613
prox_presc~s |   1.192833    .376723     3.17   0.003     .4378633    1.947803
fragme~2_xls |  -.0282941   .0119478    -2.37   0.021    -.0522381   -.0043501
concentrat~s |   .7953247   .2928714     2.72   0.009     .2083972    1.382252
logmag10_f.. |   .0277719   .0109765     2.53   0.014     .0057745    .0497693
       _cons |   3.284346   .7557724     4.35   0.000     1.769745    4.798948
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *                       Correct specifications                          *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *                               Model 1                                 *;
. *     ****************************************************************  *;
. regress elecparties_xls logmag10_xls proximity_xls prescandidate_xls prox_prescandidate_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  4,    57) =    4.08
                                                       Prob > F      =  0.0056
                                                       R-squared     =  0.4558
                                                       Root MSE      =  2.0604

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |   -.090342   .1499151    -0.60   0.549    -.3905418    .2098578
proximity_~s |  -1.541485   1.002803    -1.54   0.130    -3.549563    .4665937
prescandid~s |   1.156243   .4080838     2.83   0.006     .3390699    1.973417
prox_presc~s |   .0317988    .596509     0.05   0.958     -1.16269    1.226287
       _cons |     1.6073   .4660792     3.45   0.001     .6739921    2.540607
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 2                                 *;
. *     ****************************************************************  *;
. regress elecparties_xls fragmentation_xls fragmentation2_xls concentration_xls frag_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  4,    57) =    3.78
                                                       Prob > F      =  0.0086
                                                       R-squared     =  0.3497
                                                       Root MSE      =  2.2522

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragme~n_xls |   -1.69104   .7853143    -2.15   0.036    -3.263605    -.118475
fragme~2_xls |   .0992522   .0711515     1.39   0.168    -.0432263    .2417306
concentrat~s |   .2524271   .9101418     0.28   0.783      -1.5701    2.074955
frag_conc_~s |   .3848035   .1663154     2.31   0.024     .0517627    .7178444
       _cons |   4.446461   .9850404     4.51   0.000     2.473952     6.41897
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 3                                 *;
. *     ****************************************************************  *;
. regress elecparties_xls logmag10_xls proximity_xls prescandidate_xls prox_prescandidate_xls fragmentation_xls concent
> ration frag_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  7,    54) =    3.55
                                                       Prob > F      =  0.0033
                                                       R-squared     =  0.5887
                                                       Root MSE      =  1.8403

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |   .2524464   .2638367     0.96   0.343    -.2765143    .7814071
proximity_~s |  -.9909146    .874866    -1.13   0.262    -2.744915    .7630861
prescandid~s |   1.074717    .534562     2.01   0.049     .0029847    2.146449
prox_presc~s |  -.1613599   .6197513    -0.26   0.796    -1.403886    1.081167
fragme~n_xls |  -.4431305   .2517667    -1.76   0.084    -.9478924    .0616314
concentrat~s |  -.8859976   .4162112    -2.13   0.038    -1.720451   -.0515444
frag_conc_~s |   .3600313   .1631109     2.21   0.032     .0330135     .687049
       _cons |   1.893947   .7525779     2.52   0.015     .3851191    3.402775
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 4                                 *;
. *     ****************************************************************  *;
. regress elecparties_xls logmag10_xls proximity_xls prescandidate_xls prox_prescandidate_xls fragmentation_xls concent
> ration_xls
> frag_conc_xls logmag10_frag_xls logmag10_conc_xls logmag10_frag_conc_xls, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F( 10,    51) =    3.29
                                                       Prob > F      =  0.0023
                                                       R-squared     =  0.6677
                                                       Root MSE      =  1.7022

------------------------------------------------------------------------------
             |               Robust
elecpartie~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logmag10_xls |  -1.091349   1.149069    -0.95   0.347    -3.398202    1.215503
proximity_~s |  -.3707017   .8870668    -0.42   0.678    -2.151563    1.410159
prescandid~s |   1.035954   .4831635     2.14   0.037     .0659628    2.005945
prox_presc~s |  -.0573945   .5780675    -0.10   0.921    -1.217913    1.103124
fragme~n_xls |  -.8755262   .4043746    -2.17   0.035    -1.687342   -.0637104
concentrat~s |  -.2298111   .5920921    -0.39   0.700    -1.418485    .9588633
frag_conc_~s |   .3393827   .1754213     1.93   0.059    -.0127903    .6915556
l~0_frag_xls |   .2185099   .2542265     0.86   0.394    -.2918711    .7288908
logmag10_c~s |  -.6736229    .673758    -1.00   0.322    -2.026249    .6790027
logmag10_f.. |   .1666597   .1437205     1.16   0.252    -.1218714    .4551907
       _cons |   2.531035   .7428324     3.41   0.001     1.039737    4.022334
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                       End of basic replication                        *;
. *     ****************************************************************  *;
. log close;
       log:  Z:\interactionmodels\replication\electoralparties_replication_xls.log
  log type:  text
 closed on:  10 Jan 2007, 20:00:01
-----------------------------------------------------------------------------------------------------------------------
